Columbia Banking System (COLB) Provision for Credit Losses (2010 - 2026)
Columbia Banking System's Provision for Credit Losses was $33 million in Q3 2026, down 52.9% from $70 million a year earlier but up 13.8% from the prior quarter.
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Analysis
Columbia Banking System (COLB) Provision for Credit Losses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Columbia Banking System's Provision for Credit Losses was $113 million through Sep 30, 2026, down 28.0% year-over-year; for FY2025, it was $150 million, up 32.7% from FY2024.
- Provision for Credit Losses shows a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- In earlier years, Provision for Credit Losses was $113 million in FY2024 (-46.9%), $213 million in FY2023 (+153.5%), $84.02 million in FY2022 and -$42.65 million in FY2021.
- Quarterly Provision for Credit Losses has moved between -$36.35 million (Q4 2021) and $106.5 million (Q1 2023) over five years.
- Compared with a year earlier, Provision for Credit Losses was higher in three of the last eight quarters, with growth averaging 5.7%.
- The best year-over-year quarter for Provision for Credit Losses over five years was Q3 2025 (growth of 125.8%); the worst was Q1 2024 (a decline of 83.6%).
- Per Business Quant data, COLB's Provision for Credit Losses in the three quarters before Q3 2026 was $29 million (Q2 2026), $28 million (Q1 2026) and $23 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 2.74 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 1.24 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 717.20 Mn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 103.00 Mn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 368.00 Mn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 1.03 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 985.00 Mn |
| 10 | Columbia Banking System | 8.52 Bn | 534.03 Mn | - | 33.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 33.00 Mn |
| Jun 30, 2026 | 29.00 Mn |
| Mar 31, 2026 | 28.00 Mn |
| Dec 31, 2025 | 23.00 Mn |
| Sep 30, 2025 | 70.00 Mn |
| Jun 30, 2025 | 30.00 Mn |
| Mar 31, 2025 | 27.00 Mn |
| Dec 31, 2024 | 30.00 Mn |
| Sep 30, 2024 | 31.00 Mn |
| Jun 30, 2024 | 34.76 Mn |
| Mar 31, 2024 | 17.48 Mn |
| Dec 31, 2023 | 54.71 Mn |
| Sep 30, 2023 | 36.74 Mn |
| Jun 30, 2023 | 16.01 Mn |
| Mar 31, 2023 | 106.50 Mn |
| Dec 31, 2022 | 32.95 Mn |
| Sep 30, 2022 | 28.54 Mn |
| Jun 30, 2022 | 18.79 Mn |
| Mar 31, 2022 | 5.70 Mn |
| Dec 31, 2021 | -36.35 Mn |
API Access
Columbia Banking System Provision for Credit Losses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=provision-for-credit-losses&ticker=COLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "ticker": "COLB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=provision-for-credit-losses&ticker=COLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();